A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging

Goksu Özen; Rayımbek Sultanov; Yunus Özen; Zahide Yılmaz Güneş

doi:10.35377/saucis.03.02.731628

EN TR

A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging

Abstract

Sleep stages are determined firstly for the evaluation of sleep quality and the diagnosis of sleep diseases. The signals, recorded from sensors connected to various parts of the body, such as electroencephalogram (EEG), electrocardiogram (ECG), electrooculogram (EOG) and electromyogram (EMG) are used for this purpose. After the production of affordable wearable EEG devices for individual use, studies have begun to detect sleep stages from a single channel EEG signal. This paper presents an automated system that can perform sleep staging using a single-channel raw EEG signal. A Convolutional Neural Network (CNN) model was trained with the raw EEG signal for sleep stage detection. The use of CNN does not require any feature extraction. The developed CNN model classifies the sleep data sampled at 250 Hz, divided into 30-second segments according to the 5-class sleep staging system. According to the test results, the performance of the proposed system was found to be 93% macro F1 score and 92% accuracy.

Keywords

Tek Kanallı Ham EEG Sinyali Temelli Otomatik Uyku Evrelemesi Yapan Evrişimsel Sinir Ağı

Öz

Uyku kalitesinin değerlendirilmesi ve uyku hastalıklarının teşhisi için öncelikle uyku evreleri tespit edilmektedir. Bunun için vücudun çeşitli bölgelerine bağlı sensörlerden kaydedilen elektroensefalogram (EEG), elektrokardiyogram (ECG), elektrookülogram (EOG), elektromiyogram (EMG) gibi sinyaller kullanılmaktadır. Bireysel kullanım için üretilen uygun fiyatlı giyilebilir EEG cihazlarının üretilmesi ile tek kanallı EEG sinyalinden uyku evreleri tespiti yapılabilmesi için çalışmalar başlamıştır. Bu makalede tek kanallı ham EEG sinyali kullanarak uyku evreleri tespiti yapabilen otomatik bir sistem sunulmaktadır. Bu amaçla ham EEG sinyalleri ile bir Evrişimsel Sinir Ağı (ESA) modeli eğitilmiştir. ESA kullanımı sayesinde herhangi bir özellik çıkarımı yapılmasına ihtiyaç bulunmamaktadır. Geliştirilen ESA modeli 250 Hz’de örneklenmiş, 30 sn’lik epoklara bölünmüş uyku verisini 5 sınıflı uyku evrelemesi sistemine göre sınıflandırmaktadır. Değerlendirme sonuçlarına göre sistemin başarımı %93 makro F1-skoru ve %92 doğruluk olarak bulunmuştur.

Anahtar Kelimeler

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Details

Primary Language

English

Subjects

Artificial Intelligence

Journal Section

Research Article

Authors

Goksu Özen ^*
0000-0001-7033-0126
Kyrgyzstan

Rayımbek Sultanov
0000-0001-8802-8021
Kyrgyzstan

Yunus Özen
0000-0003-3225-8797
Türkiye

Zahide Yılmaz Güneş
0000-0001-6948-9324
Türkiye

Publication Date

August 28, 2020

Submission Date

May 4, 2020

Acceptance Date

August 12, 2020

Published in Issue

Year 2020 Volume: 3 Number: 2

DOI

https://doi.org/10.35377/saucis.03.02.731628

IZ

https://izlik.org/JA62WZ55KU

Cite

RIS / Bibtex

APA

Özen, G., Sultanov, R., Özen, Y., & Yılmaz Güneş, Z. (2020). A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging. Sakarya University Journal of Computer and Information Sciences, 3(2), 149-158. https://doi.org/10.35377/saucis.03.02.731628

AMA

1.Özen G, Sultanov R, Özen Y, Yılmaz Güneş Z. A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging. SAUCIS. 2020;3(2):149-158. doi:10.35377/saucis.03.02.731628

Chicago

Özen, Goksu, Rayımbek Sultanov, Yunus Özen, and Zahide Yılmaz Güneş. 2020. “A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging”. Sakarya University Journal of Computer and Information Sciences 3 (2): 149-58. https://doi.org/10.35377/saucis.03.02.731628.

EndNote

Özen G, Sultanov R, Özen Y, Yılmaz Güneş Z (August 1, 2020) A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging. Sakarya University Journal of Computer and Information Sciences 3 2 149–158.

IEEE

[1]G. Özen, R. Sultanov, Y. Özen, and Z. Yılmaz Güneş, “A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging”, SAUCIS, vol. 3, no. 2, pp. 149–158, Aug. 2020, doi: 10.35377/saucis.03.02.731628.

ISNAD

Özen, Goksu - Sultanov, Rayımbek - Özen, Yunus - Yılmaz Güneş, Zahide. “A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging”. Sakarya University Journal of Computer and Information Sciences 3/2 (August 1, 2020): 149-158. https://doi.org/10.35377/saucis.03.02.731628.

JAMA

1.Özen G, Sultanov R, Özen Y, Yılmaz Güneş Z. A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging. SAUCIS. 2020;3:149–158.

MLA

Özen, Goksu, et al. “A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging”. Sakarya University Journal of Computer and Information Sciences, vol. 3, no. 2, Aug. 2020, pp. 149-58, doi:10.35377/saucis.03.02.731628.

Vancouver

1.Goksu Özen, Rayımbek Sultanov, Yunus Özen, Zahide Yılmaz Güneş. A Convolutional Neural Network Based on Raw Single Channel EEG for Automatic Sleep Staging. SAUCIS. 2020 Aug. 1;3(2):149-58. doi:10.35377/saucis.03.02.731628

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